Hebb is a local-first research project for building and inspecting brain-inspired neural systems.

The core work is a spiking-neural-network substrate: persistent cortexes made from biological neuron models, learned connections, and sparse event-driven activity. The desktop app adds a visual surface for creating networks, running simulations, saving them to disk, and watching spike activity move through the connectome.

Start here:

• hebb - the Rust/Python spiking-network simulator.
• hebb_app - the desktop app, API server, and connectome visualizer.

The long-term aim is practical tooling for researchers and learners today, and a foundation for continually learning, graph-native, agentic systems over time.